Data Scientist

• Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
• Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
• Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
• Familiarity with real-time data processing and streaming analytics.
• Passion for learning and staying at the forefront of data science and machine learning advancements.

Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

• 7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
• Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
• In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
• Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow.
• Experience with cloud computing platforms, particularly Google Cloud Platform (GCP).
• Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau.
• Strong communication and presentation skills, both written and verbal.
• Good knowledge on software configuration management systems
• Strong business acumen, strategy and cross-industry thought leadership
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Two or three industry domain knowledge
• Understanding of the financial processes for various types of projects and the various pricing models available
• Client Interfacing skills
• Knowledge of SDLC and agile methodologies
• Project and Team management